Changes in version 1.3.0 (2026-06-08)                  

Minor changes:

  - Dependences:
    
      - The package is now completely independent of the irr package,
        which was previously used to internally calculate Cohen's Kappa
        (irr::kappa2). Now, Cohen's Kappa is calculated using a native
        base implementation to improve stability and maintainability. In
        addition, the Cohen's Kappa calculation is now faster.

  - Documentation:
    
      - Updated source code documentation to comply with the latest
        roxygen2 (v8.0.0) standards.
      - Improved README.Rmd plot rendering.
      - Integrated documentation for miclust() and its related methods
        print.miclust() and plot.miclust() into a single help page for a
        more fluid usage.
      - Integrated documentation for methods summary.miclust() and
        print.summary.miclust().

  - miclust:
    
      - The width of the verbose message has been reduced (now, breaks
        line each 20 imputations).

  - print.miclust:
    
      - Fix erratum in labels of the output of print.miclust.

  - plot.miclust:
    
      - New parameter metric, to select which metric is displayed.
        Defaults to "all", maintaining compatibility with the output
        from versions 1.2.8 and earlier. Other options are: "nclfreq"
        (percentage of times each number of clusters has been selected);
        "critcf" (critCF distribution for each number of clusters);
        "nvarfreq" (distribution of the number of selected variables),
        and "varsel" (percentage of appearance of the variables that
        remained in the final set of selected variables).
      - New parameters col.nclfreq, col.critcf, col.nvarfreq, and
        col.varsel, to customize the color used in the plots for
        metrics, "nclfreq", "critcf", "nvarfreq", and "varsel",
        respectively. Default values are consistent with results under
        versions 1.2.8 and earlier.
      - New parameter col.all. When specified, it overrides col.nclfreq,
        col.critcf, col.nvarfreq, and col.varsel, and applies that color
        across the entire panel. Default (NULL) is consistent with
        results under versions 1.2.8 and earlier.

  - summary.miclust:
    
      - Fix output errors related to within-cluster missingness of the
        selected variables.
      - Fix an internal error in summary.miclust() (originally triggered
        during kcca() execution inside assignprobandkappas()) that
        occurred when a specific imputation or the final assigned
        clustering result contained an empty cluster. Specifically, add
        a validation check in summary.miclust() to detect empty clusters
        across all imputations and the assigned cluster for the given k.
        The function now prints the affected cases and halts execution
        with a detailed error message.
      - An internal error in summary.miclust() (originally triggered
        during kcca() execution inside assignprobandkappas()) occurs
        when the final clustering for a given k and the set of selected
        variables results in an empty cluster within specific imputed
        datasets. This indicates that such a combination of k and
        selected variables is unable to find as many clusters as
        requested. A validation check has been added in
        summary.miclust() to detect these scenarios and halt execution
        with a detailed error message.

  - print.summary.miclust:
    
      - The Within-cluster summary section of the output has changed. To
        reduce the output width, the columns for missingness, mean, and
        standard deviation have been collapsed into a single column. The
        section label has been changed to Within-cluster summary
        [%miss.;mean;sd]. Separated columns (version <= 1.2.8 style) are
        still available in the summarybycluster element of the object.

                 Changes in version 1.2.8 (2022-02-07)                  

Minor changes:

  - Update deprecated code in CITATION.

                 Changes in version 1.2.7 (2021-09-22)                  

Minor changes:

  - Fix two missed figures in README.

                 Changes in version 1.2.6 (2021-03-10)                  

  - First version on R CRAN